MALDI‐TOF and nESI Orbitrap MS/MS identify orthogonal parts of the phosphoproteome

Phosphorylation is a reversible posttranslational protein modification which plays a pivotal role in intracellular signaling. Despite extensive efforts, phosphorylation site mapping of proteomes is still incomplete motivating the exploration of alternative methods that complement existing workflows. In this study, we compared tandem mass spectrometry (MS/MS) on matrix assisted laser desorption/ionization time‐of‐flight (MALDI‐TOF) and nano‐electrospray ionization (nESI) Orbitrap instruments with respect to their ability to identify phosphopeptides from complex proteome digests. Phosphopeptides were enriched from tryptic digests of cell lines using Fe‐IMAC column chromatography and subjected to LC‐MS/MS analysis. We found that the two analytical workflows exhibited considerable orthogonality. For instance, MALDI‐TOF MS/MS favored the identification of phosphopeptides encompassing clear motif signatures for acidic residue directed kinases. The extent of orthogonality of the two LC‐MS/MS systems was comparable to that of using alternative proteases such as Asp‐N, Arg‐C, chymotrypsin, Glu‐C and Lys‐C on just one LC‐MS/MS instrument. Notably, MALDI‐TOF MS/MS identified an unexpectedly high number and percentage of phosphotyrosine sites (～20% of all sites), possibly as a direct consequence of more efficient ionization. The data clearly show that LC‐MALDI MS/MS can be a useful complement to LC‐nESI MS/MS for phosphoproteome mapping and particularly so for acidic and phosphotyrosine containing peptides.     

Identification and characterization of citrulline‐modified brain proteins by combining HCD and CID fragmentation

Citrullination is a protein PTM of arginine residues catalyzed by peptidylarginine deiminase. Protein citrullination has been detected in the CNS and associated with a number of neurological diseases. However, identifying citrullinated proteins from complex mixtures and pinpointing citrullinated residues have been limited. Using RP LC and high‐resolution MS, this study determined in vitro citrullination sites of glial fibrillary acid protein (GFAP), neurogranin (NRGN/RC3), and myelin basic protein (MBP) and in vivo sites in brain protein extract. Human GFAP has five endogenous citrullination sites, R30, R36, R270, R406, and R416, and MBP has 14 in vivo citrullination sites. Human NRGN/RC3 was found citrullinated at residue R68. The sequence of citrullinated peptides and citrullination sites were confirmed from peptides identified in trypsin, Lys‐C, and Glu‐C digests. The relative ratio of citrullination was estimated by simultaneous identification of citrullinated and unmodified peptides from Alzheimer's and control brain samples. The site occupancy of citrullination at the residue R68 of NRGN ranged from 1.6 to 9.5%. Compared to CID, higher‐energy collisional dissociation (HCD) mainly produced protein backbone fragmentation for citrullinated peptides. CID‐triggered HCD fragmentation is an optimal approach for the identification of citrullinated peptides in complex protein digests.     

Extensive characterization of peptides from Panax ginseng C. A. Meyer using mass spectrometric approach

Panax ginseng is an important herb that has clear effects on the treatment of diverse diseases. Until now, the natural peptide constitution of this herb remains unclear. Here, we conduct an extensive characterization of Ginseng peptidome using MS‐based data mining and sequencing. The screen on the charge states of precursor ions indicated that Ginseng is a peptide‐rich herb in comparison of a number of commonly used herbs. The Ginseng peptides were then extracted and submitted to nano‐LC‐MS/MS analysis using different fragmentation modes, including CID, high‐energy collisional dissociation, and electron transfer dissociation. Further database search and de novo sequencing allowed the identification of total 308 peptides, some of which might have important biological activities. This study illustrates the abundance and sequences of endogenous Ginseng peptides, thus providing the information of more candidates for the screening of active compounds for future biological research and drug discovery studies.     

MALDI imaging mass spectrometry to investigate endogenous peptides in an animal model of Usher's disease

Imaging MS (MSI) has emerged as a valuable tool to study the spatial distribution of biomolecules in the brain. Herein, MALDI‐MSI was used to determine the distribution of endogenous peptides in a rat model of Usher's disease. This rare disease is considered as a leading cause of deaf‐blindness in humans worldwide. Cryosections of brain tissue were analyzed by MALDI‐MSI to differentiate between healthy and diseased rats. MSI results were highly reproducible. Tissue‐specific peptides were identified by MS/MS using LC‐Orbitrap and MALDI‐TOF/TOF analyses. These peptides were proposed for histological classification due to their particular spatial distribution in the brain, for example, substantia nigra, corpus callosum, and hippocampus. Several endogenous peptides showed significantly increased ion densities, particularly in the colliculi superiores and in the substantia nigra of diseased rats, including peptides derived from Fsd1, dystrobrevin‐β, and ProSAAS. Furthermore, several proteolytic degradation products of the myelin basic protein were identified, of which one peptide is most likely mediated by calpain‐2. Our findings contribute to the characterization of this animal model and include possible peptide markers of disease.     

Definitive screening design enables optimization of LC–ESI–MS/MS parameters in proteomics

In proteomics, more than 100,000 peptides are generated from the digestion of human cell lysates. Proteome samples have a broad dynamic range in protein abundance; therefore, it is critical to optimize various parameters of LC–ESI–MS/MS to comprehensively identify these peptides. However, there are many parameters for LC–ESI–MS/MS analysis. In this study, we applied definitive screening design to simultaneously optimize 14 parameters in the operation of monolithic capillary LC–ESI–MS/MS to increase the number of identified proteins and/or the average peak area of MS1. The simultaneous optimization enabled the determination of two-factor interactions between LC and MS. Finally, we found two parameter sets of monolithic capillary LC–ESI–MS/MS that increased the number of identified proteins by 8.1% or the average peak area of MS1 by 67%. The definitive screening design would be highly useful for high-throughput analysis of the best parameter set in LC–ESI–MS/MS systems.     

Extensive characterization of Tupaia belangeri neuropeptidome using an integrated mass spectrometric approach

Neuropeptidomics is used to characterize endogenous peptides in the brain of tree shrews (Tupaia belangeri). Tree shrews are small animals similar to rodents in size but close relatives of primates, and are excellent models for brain research. Currently, tree shrews have no complete proteome information available on which direct database search can be allowed for neuropeptide identification. To increase the capability in the identification of neuropeptides in tree shrews, we developed an integrated mass spectrometry (MS)-based approach that combines methods including data-dependent, directed, and targeted liquid chromatography (LC)-Fourier transform (FT)-tandem MS (MS/MS) analysis, database construction, de novo sequencing, precursor protein search, and homology analysis. Using this integrated approach, we identified 107 endogenous peptides that have sequences identical or similar to those from other mammalian species. High accuracy MS and tandem MS information, with BLAST analysis and chromatographic characteristics were used to confirm the sequences of all the identified peptides. Interestingly, further sequence homology analysis demonstrated that tree shrew peptides have a significantly higher degree of homology to equivalent sequences in humans than those in mice or rats, consistent with the close phylogenetic relationship between tree shrews and primates. Our results provide the first extensive characterization of the peptidome in tree shrews, which now permits characterization of their function in nervous and endocrine system. As the approach developed fully used the conservative properties of neuropeptides in evolution and the advantage of high accuracy MS, it can be portable for identification of neuropeptides in other species for which the fully sequenced genomes or proteomes are not available.     

Expanding the cerebrospinal fluid endopeptidome

Biomarkers of neurodegenerative disorders are needed to assist in diagnosis, to monitor disease progression and therapeutic interventions, and to provide insight into disease mechanisms. One route to identify such biomarkers is by proteomic and peptidomic analysis of cerebrospinal fluid (CSF). In the current study, we performed an in‐depth analysis of the human CSF endopeptidome to establish an inventory that may serve as a basis for future targeted biomarker studies. High‐pH RP HPLC was employed for off‐line sample prefractionation followed by low‐pH nano‐LC‐MS analysis. Different software programs and scoring algorithms for peptide identification were employed and compared. A total of 18 031 endogenous peptides were identified at a FDR of 1%, increasing the number of known endogenous CSF peptides 10‐fold compared to previous studies. The peptides were derived from 2 053 proteins of which more than 60 have been linked to neurodegeneration. Notably, among the findings were six peptides derived from microtubule‐associated protein tau, three of which span the diagnostically interesting threonine‐181 (Tau‐F isoform). Also, 213 peptides from amyloid precursor protein were identified, 58 of which were partially or completely within the sequence of amyloid β 1–40/42, as well as 109 peptides from apolipoprotein E, spanning sequences that discriminate between the E2/E3/E4 isoforms of the protein.     

LC/MS/MS method for analysis of E₂ series prostaglandins and isoprostanes

15-series prostaglandins (PGE₂s) and isoprostanes (isoPGE₂s) are robust biomarkers of oxidative stress, possess potent biological activity, and may be derived through cyclooxygenase or free radical pathways. Thus, their quantification is critical in understanding many biological processes where PG, isoPG, or oxidative stress are involved. LC/MS/MS methods allow a highly selective, sensitive, simultaneous analysis for prostanoids without derivatization. However, the LC/MS/MS methods currently used do not allow for simultaneous separation of the major brain PGE₂/D₂ and isoPGE₂ without derivatization and multiple HPLC separations. The developed LC/MS/MS method allows for the major brain PGE₂/PGD₂/isoPGE₂ such as PGE₂, entPGE₂, 8-isoPGE₂, 11β-PGE₂, PGD₂, and 15(R)-PGD₂ to be separated and quantified without derivatization. The method was validated by analyzing free and esterified isoPGE₂ in mouse brains fixed with head-focused microwave irradiation before or after global ischemia. Using the developed method, we report for the first time the esterified isoPGE₂ levels in brain tissue under basal conditions and upon global ischemia and demonstrate a nonreleasable pool of esterified isoPG upon ischemia. In addition, we demonstrated that PGE₂s found esterified in the sn-2 position in phospholipids are derived from a free radical nonenzymatic pathway under basal conditions. Our method for brain PG analysis provides a high level of selectivity to detect changes in brain PG and isoPG mass under both basal and pathological conditions.     

In‐depth protein profiling of the postsynaptic density from mouse hippocampus using data‐independent acquisition proteomics

Located at neuronal terminals, the postsynaptic density (PSD) is a highly complex network of cytoskeletal scaffolding and signaling proteins responsible for the transduction and modulation of glutamatergic signaling between neurons. Using ion‐mobility enhanced data‐independent label‐free LC‐MS/MS, we established a reference proteome of crude synaptosomes, synaptic junctions, and PSD derived from mouse hippocampus including TOP3‐based absolute quantification values for identified proteins. The final dataset across all fractions comprised 49 491 peptides corresponding to 4558 protein groups. Of these, 2102 protein groups were identified in highly purified PSD in at least two biological replicates. Identified proteins play pivotal roles in neurological and synaptic processes providing a rich resource for studies on hippocampal PSD function as well as on the pathogenesis of neuropsychiatric disorders. All MS data have been deposited in the ProteomeXchange with identifier PXD000590 ( http://proteomecentral.proteomexchange.org/dataset/PXD000590 ).     

Synthesis and mass spectrometry analysis of quaternary cryptando‐peptidic conjugates

The bicyclic amines in the form of cryptands, the crown ether analogs, were used in the synthesis of cryptando‐peptidic conjugates with simultaneous formation of quaternary ammonium nitrogen moiety. A series of model cryptando‐peptidic conjugates at the peptide N‐terminus was efficiently prepared by the standard Fmoc solid phase synthesis. Tandem mass spectrometric analysis of the obtained conjugates has shown the specific fragmentation pattern during MS/MS experiment. The obtained cryptandic quaternary ammonium group undergoes the Hofmann elimination during collision‐induced dissociation fragmentation followed by the ethoxyl group elimination. The presented quaternization of cryptands by iodoacetylated peptides is relatively easy and compatible with standard solid‐phase peptide synthesis. Additionally, the applicability of such peptide derivatives and their isotopologues selectively deuterated at the α‐carbon in the quantitative LC‐MS analysis was analyzed. Copyright © 2015 European Peptide Society and John Wiley & Sons, Ltd.     

Critical assessment of proteome‐wide label‐free absolute abundance estimation strategies

There is a great interest in reliable ways to obtain absolute protein abundances at a proteome‐wide scale. To this end, label‐free LC‐MS/MS quantification methods have been proposed where all identified proteins are assigned an estimated abundance. Several variants of this quantification approach have been presented, based on either the number of spectral counts per protein or MS1 peak intensities. Equipped with several datasets representing real biological environments, containing a high number of accurately quantified reference proteins, we evaluate five popular low‐cost and easily implemented quantification methods (Absolute Protein Expression, Exponentially Modified Protein Abundance Index, Intensity‐Based Absolute Quantification Index, Top3, and MeanInt). Our results demonstrate considerably improved abundance estimates upon implementing accurately quantified reference proteins; that is, using spiked in stable isotope labeled standard peptides or a standard protein mix, to generate a properly calibrated quantification model. We show that only the Top3 method is directly proportional to protein abundance over the full quantification range and is the preferred method in the absence of reference protein measurements. Additionally, we demonstrate that spectral count based quantification methods are associated with higher errors than MS1 peak intensity based methods. Furthermore, we investigate the impact of miscleaved, modified, and shared peptides as well as protein size and the number of employed reference proteins on quantification accuracy.     

High throughput screening of disulfide‐containing proteins in a complex mixture

The formation of disulfide bonds between cysteine residues is crucial for the stabilization of native protein structures and, thus, determination of disulfide linkages is an important facet of protein structural characterization. Nonetheless, the identification of disulfide bond linkages remains a significant analytical challenge, particularly in large proteins with complex disulfide patterns. Herein, we have developed a new LC/MS strategy for rapid screening of disulfides in an intact protein mixture after a straightforward reduction step with tris(2‐carboxyethyl)phosphine. LC/MS analysis of reduced and nonreduced protein mixtures quickly revealed disulfide‐containing proteins owing to a 2 Da mass increase per disulfide reduction and, subsequently, the total number of disulfide bonds in the intact proteins could be determined. We have demonstrated the effectiveness of this method in a protein mixture composed of both disulfide‐containing and disulfide‐free proteins. Our method is simple (no need for proteolytic digestion, alkylation, or the removal of reducing agents prior to MS analysis), high throughput (fast on‐line LC/MS analysis), and reliable (no S–S scrambling), underscoring its potential as a rapid disulfide screening method for proteomics applications.     

基于超滤辅助样品制备方法的优化简

目的：基于超滤辅助样品制备（FASP）方法的出现使得使用去污剂（如SDS）的蛋白质提取方法与溶液内酶切方法得以兼容,因此提高了难溶性蛋白的鉴定数量。然而,超滤膜的非特异性吸附作用依然会造成蛋白的损失。我们拟针对该方法存在的问题对其进行改进。方法：对FASP方法进行了蛋白酶切条件、洗脱液选择、洗脱次数的改进;为测试优化方法的有效性和适用范围,选择标准蛋白BSA、鼠肝和鼠脑等3种样品进行考察。结果：相比报道的FASP方法,采用改进后的FASP方法使BSA的回收率提高了20％;经高精度质谱检测,对鼠肝、鼠脑的蛋白质鉴定结果分别比采用未优化的FASP多鉴定到2086和3592条特异肽段。结论：通过对FASP方法的优化,蛋白鉴定数量得到较大提高,该方法为蛋白质组深度覆盖研究提供了可靠的技术手段。     

Compartment resolved reference proteome map from highly purified naïve,activated, effector,and memory CD8+ murine immune cells

Differentiation of CD8⁺ T lymphocytes into effector and memory cells is key for an adequate immune response and relies on complex interplay of pathways that convey signals from the cell surface to the nucleus. In this study, we investigated the proteome of four cytotoxic T‐cell subtypes; naïve, recently activated effector, effector, and memory cells. Cells were fractionated into membrane, cytosol, soluble nuclear, chromatin‐bound, and cytoskeletal compartments. Following LC‐MS/MS analysis, identified peptides were analyzed via MaxQuant. Compartment fractionation and gel‐LC‐MS separation resulted in 2399 proteins identified in total. Comparison between the different subsets resulted in 146 significantly regulated proteins for naïve and effector cells, followed by 116 for activated, and 55 for memory cells. Besides Granzyme B signaling (for activated and/ or effector cells vs. naïve cells), the most prominent changes occurred in the TCA cycle and aspartate degradation. These changes suggest that correct balancing of metabolism is key for differentiation processes. All MS data have been deposited in the ProteomeXchange with identifier PXD001065 ( http://proteomecentral.proteomexchange.org/dataset/PXD001065 ).     

Improving MHC‐I Ligand Identifications from LC‐MS/MS Data by Incorporating Allelic Peptide Motifs

MHC class I (MHC‐I)‐bound ligands play a pivotal role in CD8 T cell immunity and are hence of major interest in understanding and designing immunotherapies. One of the most commonly utilized approaches for detecting MHC ligands is LC‐MS/MS. Unfortunately, the effectiveness of current algorithms to identify MHC ligands from LC‐MS/MS data is limited because the search algorithms used were originally developed for proteomics approaches detecting tryptic peptides. Consequently, the analysis often results in inflated false discovery rate (FDR) statistics and an overall decrease in the number of peptides that pass FDR filters. Andreatta et al. describe a new scoring tool (MS‐rescue) for peptides from MHC‐I immunopeptidome datasets. MS‐rescue incorporates the existence of MHC‐I peptide motifs to rescore peptides from ligandome data. The tool is demonstrated here using peptides assigned from LC‐MS/MS data with PEAKs software but can be deployed on data from any search algorithm. This new approach increased the number of peptides identified by up to 20–30% and promises to aid the discovery of novel MHC‐I ligands with immunotherapeutic potential.     

Multiplexed LC‐MS/MS analysis of horse plasma proteins to study doping in sport

The development of protein biomarkers for the indirect detection of doping in horse is a potential solution to doping threats such as gene and protein doping. A method for biomarker candidate discovery in horse plasma is presented using targeted analysis of proteotypic peptides from horse proteins. These peptides were first identified in a novel list of the abundant proteins in horse plasma. To monitor these peptides, an LC‐MS/MS method using multiple reaction monitoring was developed to study the quantity of 49 proteins in horse plasma in a single run. The method was optimised and validated, and then applied to a population of race‐horses to study protein variance within a population. The method was finally applied to longitudinal time courses of horse plasma collected after administration of an anabolic steroid to demonstrate utility for hypothesis‐driven discovery of doping biomarker candidates.     

Detection of aggressive prostate cancer associated glycoproteins in urine using glycoproteomics and mass spectrometry

Clinical management of prostate cancer remains a significant challenge due to the lack of available tests for guiding treatment decisions. The blood prostate‐specific antigen test has facilitated early detection and intervention of prostate cancer. However, blood prostate‐specific antigen levels are less effective in distinguishing aggressive from indolent prostate cancers and other benign prostatic diseases. Thus, the development of novel approaches specific for prostate cancer that can differentiate aggressive from indolent disease remains an urgent medical need. In the current study, we evaluated urine specimens from prostate cancer patients using LC‐MS/MS, with the aim of identifying effective urinary prostate cancer biomarkers. Glycoproteins from urine samples of prostate cancer patients with different Gleason scores were characterized via solid phase extraction of N‐linked glycosite‐containing peptides and LC‐MS/MS. A total of 2923 unique glycosite‐containing peptides were identified. Glycoproteomic comparison on urine and tissues from aggressive and non‐aggressive prostate cancers as well as sera from prostate cancer patients revealed that the majority of AG prostate cancer associated glycoproteins were more readily detected in patient's urine than serum samples. Our data collectively indicate that urine provides a potential source for biomarker testing in patients with AG prostate cancer.     

Affinity pulldown of γ‐secretase and associated proteins from human and rat brain

γ‐Secretase is a transmembrane protease complex responsible for the processing of a multitude of type 1 transmembrane proteins, including amyloid precursor protein (APP) and Notch. A functional complex is dependent on the assembly of four proteins: presenilin (PS), nicastrin, Aph‐1 and Pen‐2. Little is known about how the substrates are selected by γ‐secretase, but it has been suggested that γ‐secretase associated proteins (GSAPs) could be of importance. For instance, it was recently reported from studies in cell lines that TMP21, a transmembrane protein involved in trafficking, binds to γ‐secretase and regulates the processing of APP‐derived substrates without affecting Notch cleavage. Here, we present an efficient and selective method for purification and analysis of γ‐secretase and GSAPs. Microsomal membranes were prepared from rat or human brain and incubated with a γ‐secretase inhibitor coupled to biotin via a long linker and a S‐S bridge. After pulldown using streptavidin beads, bound proteins were eluted under reducing conditions and digested by trypsin. The tryptic peptides were subjected to LC‐MS/MS analysis, and proteins were identified by sequence data from MS/MS spectra. All of the known γ‐secretase components were identified. Interestingly, TMP21 and the PS associated protein syntaxin1 were associated to γ‐secretase in rat brain. We suggest that the present method can be used for further studies on the composition of the γ‐secretase complex.